Unified design of symbol-matching-based document image compression and merging system

Xing Zhang; Jian Zhang

doi:10.1117/12.410834

21 December 2000 Unified design of symbol-matching-based document image compression and merging system

Xing Zhang, Jian Zhang

Proceedings Volume 4307, Document Recognition and Retrieval VIII; (2000) https://doi.org/10.1117/12.410834
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

This paper describes a document image compression and merging system, which provides capabilities for automatically indexing from documents to form a document library and for merging the partial image of a document page. Because of the nature of document images, the technique described in this paper is intended to be used to process bi-level text images. The key technology for image merging is correlation analysis. State- of-the-art techniques exist to merge gray-scale and color natural image. However, these techniques do not apply for document image containing much text and they fail too often when used to merge document images regardless of their computational intensive nature. The proposed system solution will provide a reliable correlation analysis technique for document image merging where only bi-level images are primarily available.

Citation Download Citation

Xing Zhang and Jian Zhang "Unified design of symbol-matching-based document image compression and merging system", Proc. SPIE 4307, Document Recognition and Retrieval VIII, (21 December 2000); https://doi.org/10.1117/12.410834

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